About The Company
Jobleads-US is a leading organization dedicated to innovation and excellence in the technology sector. With a focus on leveraging cutting-edge artificial intelligence and machine learning solutions, the company aims to transform industries by delivering scalable, efficient, and responsible AI-driven products and services. Committed to fostering a dynamic and inclusive work environment, Jobleads-US continually invests in the growth and development of its talented team members, ensuring they stay at the forefront of technological advancements.
About The Role
We are seeking an experienced and highly motivated AI/ML Scientist to join our team at Jobleads-US, working remotely within the United States. The successful candidate will be part of the UnitedHealth Group’s Optum AI team, focusing on advancing large language models (LLMs) and natural language processing (NLP) capabilities. This role offers a unique opportunity to develop scalable models capable of real-time processing, contribute to the establishment of responsible AI standards, and collaborate with a team of world-class researchers.
The AI/ML Scientist will play a pivotal role in defining strategic priorities for deep learning, retrieval-augmented generation (RAG), and LLMs, helping to drive the adoption of innovative scientific solutions across various service teams.
Qualifications A Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in developing and deploying large-scale NLP and LLM models.
Strong understanding of deep learning frameworks such as TensorFlow, PyTorch, or similar.
Experience with scalable model architecture design, optimization, and real-time processing.
Familiarity with responsible AI practices, ethical AI standards, and model interpretability.
Excellent collaboration and communication skills, with the ability to work effectively in a remote team environment.
Prior experience working within healthcare or related industries is a plus.
Responsibilities Design, develop, and optimize large language models and NLP algorithms tailored for real-time applications.
Collaborate with cross-functional teams to identify key business challenges and translate them into AI solutions.
Contribute to the development and implementation of responsible AI standards, ensuring ethical and fair use of AI models.
Conduct research to stay abreast of the latest advancements in deep learning, RAG, and LLMs, applying innovative techniques to ongoing projects.
Evaluate model performance through rigorous testing, validation, and benchmarking to ensure robustness and accuracy.
Document research findings and share insights with team members and stakeholders to facilitate knowledge transfer and adoption.
Support the deployment of AI models into production environments, ensuring scalability and reliability.
Participate in code reviews, technical discussions, and mentorship activities to foster a collaborative team environment.
Benefits Jobleads-US offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, health insurance plans, retirement savings options, paid time off, and flexible work arrangements.
Employees also have access to ongoing training and development programs, opportunities for career advancement, and a collaborative work environment that encourages innovation and continuous learning. We are committed to ensuring our team members have the resources and support they need to excel in their roles.
Equal Opportunity
Jobleads-US is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected status. We believe that a diverse workforce enhances our ability to innovate and serve our clients effectively, and we welcome applicants from all backgrounds to join our team.